Showing 1 - 14 results of 14 for search 'International Conference on Learning Representations', query time: 0.07s Refine Results
  1. 1
    TreeQN and ATreeC: differentiable tree planning for deep reinforcement learning

    TreeQN and ATreeC: differentiable tree planning for deep reinforcement learning by Farquhar, G, Rocktaeschel, T, Igl, M, Whiteson, S

    Published 2018
    “…International Conference on Learning Representations…”
    Conference item
  2. 2
    Meta-learning with differentiable closed-form solvers

    Meta-learning with differentiable closed-form solvers by Bertinetto, L, Henriques, J, Torr, P, Vedaldi, A

    Published 2019
    “…International Conference on Learning Representations…”
    Conference item
  3. 3
    A generalization of the randomized singular value decomposition

    A generalization of the randomized singular value decomposition by Boulle, N, Townsend, A

    Published 2021
    “…International Conference on Learning Representations…”
    Conference item
  4. 4
    Deep structured output learning for unconstrained text recognition

    Deep structured output learning for unconstrained text recognition by Jaderberg, M, Simonyan, K, Vedaldi, A, Zisserman, A

    Published 2015
    “…International Conference on Learning Representations…”
    Conference item
  5. 5
    The concrete distribution: A continuous relaxation of discrete random variables

    The concrete distribution: A continuous relaxation of discrete random variables by Maddison, C, Mnih, A, Teh, Y

    Published 2017
    “…International Conference on Learning Representations…”
    Conference item
  6. 6
    VariBAD: a very good method for Bayes-adaptive deep RL via meta-learning

    VariBAD: a very good method for Bayes-adaptive deep RL via meta-learning by Zintgraf, L, Shiarlis, K, Igl, M, Schulze, S, Gal, Y, Hofmann, K, Whiteson, S

    Published 2020
    “…International Conference on Learning Representations…”
    Conference item
  7. 7
    Optimistic exploration even with a pessimistic initialisation

    Optimistic exploration even with a pessimistic initialisation by Whiteson, S, Rashid, T, Peng, B, Bohmer, W

    Published 2020
    “…International Conference on Learning Representations…”
    Conference item
  8. 8
    Stable rank normalization for improved generalization in neural networks and GANs

    Stable rank normalization for improved generalization in neural networks and GANs by Sanyal, A, Torr, P, Dokania, P

    Published 2020
    “…International Conference on Learning Representations…”
    Conference item
  9. 9
    Learning to compose words into sentences with reinforcement learning

    Learning to compose words into sentences with reinforcement learning by Yogatama, D, Blunsom, P, Dyer, C, Grefenstette, E, Ling, W

    Published 2017
    “…International Conference on Learning Representations…”
    Journal article
  10. 10
    A signal propagation perspective for pruning neural networks at initialization

    A signal propagation perspective for pruning neural networks at initialization by Lee, N, Ajanthan, T, Gould, S, Torr, PHS

    Published 2019
    “…International Conference on Learning Representations…”
    Conference item
  11. 11
    Multilingual distributed representations without word alignment

    Multilingual distributed representations without word alignment by Hermann, K, Blunsom, P

    Published 2014
    “…International Conference on Learning Representations…”
    Journal article
  12. 12
    Information asymmetry in KL-regularized RL

    Information asymmetry in KL-regularized RL by Galashov, A, Jayakumar, SM, Hasenclever, L, Tirumala, D, Schwarz, J, Desjardins, G, Czarnecki, WM, Teh, YW, Pascanu, R, Heess, N

    Published 2018
    “…International Conference on Learning Representations…”
    Journal article
  13. 13
    Learn to pay attention

    Learn to pay attention by Jetley, S, Lord, NA, Lee, N, Torr, PH

    Published 2018
    “…International Conference on Learning Representations…”
    Conference item
  14. 14
    Deep Frank-Wolfe for neural network optimization

    Deep Frank-Wolfe for neural network optimization by Berrada, L, Zisserman, A, Mudigonda, P

    Published 2019
    “…International Conference on Learning Representations…”
    Conference item

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